Storage calculators
Model GB-month stored, request fees, replication/copies, and egress separately to avoid surprises.
What to include
- Average stored size (GB-month), not just end-of-month size.
- Requests (GET/PUT/LIST) for small-object and high-request workloads.
- Replication/copy volume (changed GB/month), not total stored GB.
- Egress for reads to internet/CDN/or other regions.
Validation checklist
- Validate storage class mix and lifecycle transitions (hot → cold → archive).
- Validate whether pricing uses GB vs GiB and per-1k vs per-10k request units.
- Separate CDN bandwidth from origin egress to avoid double-counting.
How to get your inputs
- GB-month: storage metrics for average used size (not just month-end).
- Requests: storage access metrics or billing usage types (GET/PUT/LIST).
- Replication: changed GB/month from replication logs or transfer metrics.
- Egress: bytes out from CDN/origin metrics or billing exports.
10 storage tools
AWS ECR Cost Calculator
Estimate ECR-style cost from stored GB-month plus data transfer assumptions.
AWS EBS Snapshot Cost Calculator
Estimate snapshot storage cost from volume size, churn, and retention.
AWS S3 Glacier / Deep Archive Cost Calculator
Estimate archive storage cost from stored GB-month plus retrieval GB and request assumptions.
Storage Pricing Calculator
Estimate object storage pricing from GB-month, requests, and egress.
S3 Cost Calculator
Estimate S3-like storage costs: storage, requests, egress, replication.
Object Storage Cost Calculator
Estimate storage and request costs (GET/PUT) for S3-like object storage.
S3 Request Cost Calculator
Estimate S3-like request costs (GET/PUT) from monthly request volume.
S3 Replication Cost Calculator
Estimate replication fee from replicated GB/month and $/GB assumptions.
Storage Replication Cost Calculator
Estimate replication transfer/storage cost from replicated GB and $/GB pricing.
Database Storage Growth Cost Calculator
Estimate storage growth over time and the average monthly cost.
Result interpretation
- If storage dominates, verify average GB-month and growth assumptions before changing tiers.
- If request fees dominate, validate object counts and request mix (GET vs PUT vs LIST).
- If replication dominates, confirm changed GB/month rather than total stored GB.
- Use a peak scenario if retention policies or backups spike during incidents.
Scenario planning
- Baseline: average GB-month and typical request volume.
- Peak: higher churn and backup volume during incident months.
- Growth: add a monthly growth curve for stored data.
- Lifecycle: compare hot vs cold tier mixes in separate scenarios.
Validate after changes
- Confirm GB-month trends in storage metrics after lifecycle changes.
- Validate request counts and mix (GET/PUT/LIST) in billing exports.
- Check replication and egress usage types after routing updates.
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